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[CI/Build] Allow hermetic builds (#18064)
Signed-off-by: Fabien Dupont <fdupont@redhat.com> Signed-off-by: Tyler Michael Smith <tyler@neuralmagic.com> Signed-off-by: Fabien Dupont <fabiendupont@pm.me> Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com> Co-authored-by: Tyler Michael Smith <tyler@neuralmagic.com> Co-authored-by: Elias Levy <eliaslevy@google.com> Co-authored-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
This commit is contained in:
Fabien Dupont
GitHub
parent
e8c3bd2cd1
commit
3c545c0c3b
@ -6,30 +6,106 @@
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# docs/assets/contributing/dockerfile-stages-dependency.png
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ARG CUDA_VERSION=12.8.1
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ARG PYTHON_VERSION=3.12
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# By parameterizing the base images, we allow third-party to use their own
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# base images. One use case is hermetic builds with base images stored in
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# private registries that use a different repository naming conventions.
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#
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# Example:
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# docker build --build-arg BUILD_BASE_IMAGE=registry.acme.org/mirror/nvidia/cuda:${CUDA_VERSION}-devel-ubuntu20.04
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ARG BUILD_BASE_IMAGE=nvidia/cuda:${CUDA_VERSION}-devel-ubuntu20.04
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ARG FINAL_BASE_IMAGE=nvidia/cuda:${CUDA_VERSION}-devel-ubuntu22.04
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# By parameterizing the Deadsnakes repository URL, we allow third-party to use
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# their own mirror. When doing so, we don't benefit from the transparent
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# installation of the GPG key of the PPA, as done by add-apt-repository, so we
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# also need a URL for the GPG key.
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ARG DEADSNAKES_MIRROR_URL
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ARG DEADSNAKES_GPGKEY_URL
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# The PyPA get-pip.py script is a self contained script+zip file, that provides
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# both the installer script and the pip base85-encoded zip archive. This allows
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# bootstrapping pip in environment where a dsitribution package does not exist.
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#
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# By parameterizing the URL for get-pip.py installation script, we allow
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# third-party to use their own copy of the script stored in a private mirror.
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# We set the default value to the PyPA owned get-pip.py script.
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#
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# Reference: https://pip.pypa.io/en/stable/installation/#get-pip-py
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ARG GET_PIP_URL="https://bootstrap.pypa.io/get-pip.py"
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# PIP supports fetching the packages from custom indexes, allowing third-party
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# to host the packages in private mirrors. The PIP_INDEX_URL and
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# PIP_EXTRA_INDEX_URL are standard PIP environment variables to override the
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# default indexes. By letting them empty by default, PIP will use its default
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# indexes if the build process doesn't override the indexes.
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#
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# Uv uses different variables. We set them by default to the same values as
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# PIP, but they can be overridden.
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ARG PIP_INDEX_URL
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ARG PIP_EXTRA_INDEX_URL
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ARG UV_INDEX_URL=${PIP_INDEX_URL}
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ARG UV_EXTRA_INDEX_URL=${PIP_EXTRA_INDEX_URL}
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# PyTorch provides its own indexes for standard and nightly builds
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ARG PYTORCH_CUDA_INDEX_BASE_URL=https://download.pytorch.org/whl
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ARG PYTORCH_CUDA_NIGHTLY_INDEX_BASE_URL=https://download.pytorch.org/whl/nightly
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# PIP supports multiple authentication schemes, including keyring
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# By parameterizing the PIP_KEYRING_PROVIDER variable and setting it to
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# disabled by default, we allow third-party to use keyring authentication for
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# their private Python indexes, while not changing the default behavior which
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# is no authentication.
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#
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# Reference: https://pip.pypa.io/en/stable/topics/authentication/#keyring-support
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ARG PIP_KEYRING_PROVIDER=disabled
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ARG UV_KEYRING_PROVIDER=${PIP_KEYRING_PROVIDER}
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#################### BASE BUILD IMAGE ####################
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# prepare basic build environment
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FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu20.04 AS base
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ARG CUDA_VERSION=12.8.1
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ARG PYTHON_VERSION=3.12
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FROM ${BUILD_BASE_IMAGE} AS base
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ARG CUDA_VERSION
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ARG PYTHON_VERSION
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ARG TARGETPLATFORM
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ENV DEBIAN_FRONTEND=noninteractive
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ARG DEADSNAKES_MIRROR_URL
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ARG DEADSNAKES_GPGKEY_URL
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ARG GET_PIP_URL
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# Install Python and other dependencies
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RUN echo 'tzdata tzdata/Areas select America' | debconf-set-selections \
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&& echo 'tzdata tzdata/Zones/America select Los_Angeles' | debconf-set-selections \
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&& apt-get update -y \
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&& apt-get install -y ccache software-properties-common git curl sudo \
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&& for i in 1 2 3; do \
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add-apt-repository -y ppa:deadsnakes/ppa && break || \
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{ echo "Attempt $i failed, retrying in 5s..."; sleep 5; }; \
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done \
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&& if [ ! -z ${DEADSNAKES_MIRROR_URL} ] ; then \
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if [ ! -z "${DEADSNAKES_GPGKEY_URL}" ] ; then \
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mkdir -p -m 0755 /etc/apt/keyrings ; \
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curl -L ${DEADSNAKES_GPGKEY_URL} | gpg --dearmor > /etc/apt/keyrings/deadsnakes.gpg ; \
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sudo chmod 644 /etc/apt/keyrings/deadsnakes.gpg ; \
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echo "deb [signed-by=/etc/apt/keyrings/deadsnakes.gpg] ${DEADSNAKES_MIRROR_URL} $(lsb_release -cs) main" > /etc/apt/sources.list.d/deadsnakes.list ; \
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fi ; \
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else \
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for i in 1 2 3; do \
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add-apt-repository -y ppa:deadsnakes/ppa && break || \
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{ echo "Attempt $i failed, retrying in 5s..."; sleep 5; }; \
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done ; \
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fi \
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&& apt-get update -y \
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&& apt-get install -y python${PYTHON_VERSION} python${PYTHON_VERSION}-dev python${PYTHON_VERSION}-venv \
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&& update-alternatives --install /usr/bin/python3 python3 /usr/bin/python${PYTHON_VERSION} 1 \
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&& update-alternatives --set python3 /usr/bin/python${PYTHON_VERSION} \
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&& ln -sf /usr/bin/python${PYTHON_VERSION}-config /usr/bin/python3-config \
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&& curl -sS https://bootstrap.pypa.io/get-pip.py | python${PYTHON_VERSION} \
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&& curl -sS ${GET_PIP_URL} | python${PYTHON_VERSION} \
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&& python3 --version && python3 -m pip --version
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ARG PIP_INDEX_URL UV_INDEX_URL
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ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
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ARG PYTORCH_CUDA_INDEX_BASE_URL
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ARG PYTORCH_CUDA_NIGHTLY_INDEX_BASE_URL
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ARG PIP_KEYRING_PROVIDER UV_KEYRING_PROVIDER
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# Install uv for faster pip installs
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RUN --mount=type=cache,target=/root/.cache/uv \
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python3 -m pip install uv
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@ -63,15 +139,19 @@ WORKDIR /workspace
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# after this step
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RUN --mount=type=cache,target=/root/.cache/uv \
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if [ "$TARGETPLATFORM" = "linux/arm64" ]; then \
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uv pip install --system --index-url https://download.pytorch.org/whl/nightly/cu128 "torch==2.8.0.dev20250318+cu128" "torchvision==0.22.0.dev20250319"; \
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uv pip install --system --index-url https://download.pytorch.org/whl/nightly/cu128 --pre pytorch_triton==3.3.0+gitab727c40; \
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uv pip install --system \
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--index-url ${PYTORCH_CUDA_NIGHTLY_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.') \
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"torch==2.8.0.dev20250318+cu128" "torchvision==0.22.0.dev20250319"; \
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uv pip install --system \
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--index-url ${PYTORCH_CUDA_NIGHTLY_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.') \
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--pre pytorch_triton==3.3.0+gitab727c40; \
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fi
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COPY requirements/common.txt requirements/common.txt
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COPY requirements/cuda.txt requirements/cuda.txt
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv pip install --system -r requirements/cuda.txt \
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--extra-index-url https://download.pytorch.org/whl/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')
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--extra-index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')
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# cuda arch list used by torch
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# can be useful for both `dev` and `test`
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@ -88,6 +168,10 @@ ENV VLLM_FA_CMAKE_GPU_ARCHES=${vllm_fa_cmake_gpu_arches}
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FROM base AS build
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ARG TARGETPLATFORM
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ARG PIP_INDEX_URL UV_INDEX_URL
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ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
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ARG PYTORCH_CUDA_INDEX_BASE_URL
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# install build dependencies
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COPY requirements/build.txt requirements/build.txt
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@ -98,7 +182,7 @@ ENV UV_INDEX_STRATEGY="unsafe-best-match"
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv pip install --system -r requirements/build.txt \
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--extra-index-url https://download.pytorch.org/whl/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')
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--extra-index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')
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COPY . .
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ARG GIT_REPO_CHECK=0
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@ -113,6 +197,8 @@ ARG nvcc_threads=8
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ENV NVCC_THREADS=$nvcc_threads
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ARG USE_SCCACHE
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ARG SCCACHE_DOWNLOAD_URL=https://github.com/mozilla/sccache/releases/download/v0.8.1/sccache-v0.8.1-x86_64-unknown-linux-musl.tar.gz
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ARG SCCACHE_ENDPOINT
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ARG SCCACHE_BUCKET_NAME=vllm-build-sccache
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ARG SCCACHE_REGION_NAME=us-west-2
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ARG SCCACHE_S3_NO_CREDENTIALS=0
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@ -121,10 +207,11 @@ RUN --mount=type=cache,target=/root/.cache/uv \
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--mount=type=bind,source=.git,target=.git \
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if [ "$USE_SCCACHE" = "1" ]; then \
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echo "Installing sccache..." \
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&& curl -L -o sccache.tar.gz https://github.com/mozilla/sccache/releases/download/v0.8.1/sccache-v0.8.1-x86_64-unknown-linux-musl.tar.gz \
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&& curl -L -o sccache.tar.gz ${SCCACHE_DOWNLOAD_URL} \
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&& tar -xzf sccache.tar.gz \
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&& sudo mv sccache-v0.8.1-x86_64-unknown-linux-musl/sccache /usr/bin/sccache \
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&& rm -rf sccache.tar.gz sccache-v0.8.1-x86_64-unknown-linux-musl \
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&& if [ ! -z ${SCCACHE_ENDPOINT} ] ; then export SCCACHE_ENDPOINT=${SCCACHE_ENDPOINT} ; fi \
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&& export SCCACHE_BUCKET=${SCCACHE_BUCKET_NAME} \
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&& export SCCACHE_REGION=${SCCACHE_REGION_NAME} \
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&& export SCCACHE_S3_NO_CREDENTIALS=${SCCACHE_S3_NO_CREDENTIALS} \
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@ -162,6 +249,10 @@ RUN if [ "$RUN_WHEEL_CHECK" = "true" ]; then \
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#################### DEV IMAGE ####################
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FROM base as dev
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ARG PIP_INDEX_URL UV_INDEX_URL
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ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
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ARG PYTORCH_CUDA_INDEX_BASE_URL
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# This timeout (in seconds) is necessary when installing some dependencies via uv since it's likely to time out
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# Reference: https://github.com/astral-sh/uv/pull/1694
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ENV UV_HTTP_TIMEOUT=500
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@ -176,21 +267,25 @@ COPY requirements/test.txt requirements/test.txt
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COPY requirements/dev.txt requirements/dev.txt
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv pip install --system -r requirements/dev.txt \
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--extra-index-url https://download.pytorch.org/whl/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')
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--extra-index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')
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#################### DEV IMAGE ####################
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#################### vLLM installation IMAGE ####################
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# image with vLLM installed
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# TODO: Restore to base image after FlashInfer AOT wheel fixed
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FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu22.04 AS vllm-base
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ARG CUDA_VERSION=12.8.1
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ARG PYTHON_VERSION=3.12
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FROM ${FINAL_BASE_IMAGE} AS vllm-base
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ARG CUDA_VERSION
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ARG PYTHON_VERSION
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WORKDIR /vllm-workspace
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ENV DEBIAN_FRONTEND=noninteractive
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ARG TARGETPLATFORM
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SHELL ["/bin/bash", "-c"]
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ARG DEADSNAKES_MIRROR_URL
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ARG DEADSNAKES_GPGKEY_URL
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ARG GET_PIP_URL
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RUN PYTHON_VERSION_STR=$(echo ${PYTHON_VERSION} | sed 's/\.//g') && \
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echo "export PYTHON_VERSION_STR=${PYTHON_VERSION_STR}" >> /etc/environment
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@ -200,17 +295,33 @@ RUN echo 'tzdata tzdata/Areas select America' | debconf-set-selections \
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&& apt-get update -y \
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&& apt-get install -y ccache software-properties-common git curl wget sudo vim python3-pip \
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&& apt-get install -y ffmpeg libsm6 libxext6 libgl1 \
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&& for i in 1 2 3; do \
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add-apt-repository -y ppa:deadsnakes/ppa && break || \
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{ echo "Attempt $i failed, retrying in 5s..."; sleep 5; }; \
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done \
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&& if [ ! -z ${DEADSNAKES_MIRROR_URL} ] ; then \
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if [ ! -z "${DEADSNAKES_GPGKEY_URL}" ] ; then \
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mkdir -p -m 0755 /etc/apt/keyrings ; \
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curl -L ${DEADSNAKES_GPGKEY_URL} | gpg --dearmor > /etc/apt/keyrings/deadsnakes.gpg ; \
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sudo chmod 644 /etc/apt/keyrings/deadsnakes.gpg ; \
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echo "deb [signed-by=/etc/apt/keyrings/deadsnakes.gpg] ${DEADSNAKES_MIRROR_URL} $(lsb_release -cs) main" > /etc/apt/sources.list.d/deadsnakes.list ; \
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fi ; \
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else \
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for i in 1 2 3; do \
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add-apt-repository -y ppa:deadsnakes/ppa && break || \
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{ echo "Attempt $i failed, retrying in 5s..."; sleep 5; }; \
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done ; \
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fi \
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&& apt-get update -y \
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&& apt-get install -y python${PYTHON_VERSION} python${PYTHON_VERSION}-dev python${PYTHON_VERSION}-venv libibverbs-dev \
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&& update-alternatives --install /usr/bin/python3 python3 /usr/bin/python${PYTHON_VERSION} 1 \
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&& update-alternatives --set python3 /usr/bin/python${PYTHON_VERSION} \
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&& ln -sf /usr/bin/python${PYTHON_VERSION}-config /usr/bin/python3-config \
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&& curl -sS https://bootstrap.pypa.io/get-pip.py | python${PYTHON_VERSION} \
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&& curl -sS ${GET_PIP_URL} | python${PYTHON_VERSION} \
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&& python3 --version && python3 -m pip --version
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ARG PIP_INDEX_URL UV_INDEX_URL
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ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
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ARG PYTORCH_CUDA_INDEX_BASE_URL
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ARG PYTORCH_CUDA_NIGHTLY_INDEX_BASE_URL
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ARG PIP_KEYRING_PROVIDER UV_KEYRING_PROVIDER
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# Install uv for faster pip installs
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RUN --mount=type=cache,target=/root/.cache/uv \
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python3 -m pip install uv
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@ -232,15 +343,19 @@ RUN ldconfig /usr/local/cuda-$(echo $CUDA_VERSION | cut -d. -f1,2)/compat/
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# after this step
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RUN --mount=type=cache,target=/root/.cache/uv \
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if [ "$TARGETPLATFORM" = "linux/arm64" ]; then \
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uv pip install --system --index-url https://download.pytorch.org/whl/nightly/cu128 "torch==2.8.0.dev20250318+cu128" "torchvision==0.22.0.dev20250319"; \
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uv pip install --system --index-url https://download.pytorch.org/whl/nightly/cu128 --pre pytorch_triton==3.3.0+gitab727c40; \
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uv pip install --system \
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--index-url ${PYTORCH_CUDA_NIGHTLY_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.') \
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"torch==2.8.0.dev20250318+cu128" "torchvision==0.22.0.dev20250319" ; \
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uv pip install --system \
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--index-url ${PYTORCH_CUDA_NIGHTLY_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.') \
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--pre pytorch_triton==3.3.0+gitab727c40 ; \
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fi
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# Install vllm wheel first, so that torch etc will be installed.
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RUN --mount=type=bind,from=build,src=/workspace/dist,target=/vllm-workspace/dist \
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--mount=type=cache,target=/root/.cache/uv \
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uv pip install --system dist/*.whl --verbose \
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--extra-index-url https://download.pytorch.org/whl/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')
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--extra-index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')
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# If we need to build FlashInfer wheel before its release:
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# $ # Note we remove 7.0 from the arch list compared to the list below, since FlashInfer only supports sm75+
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@ -254,15 +369,20 @@ RUN --mount=type=bind,from=build,src=/workspace/dist,target=/vllm-workspace/dist
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# -rw-rw-r-- 1 mgoin mgoin 205M Jun 9 18:03 flashinfer_python-0.2.6.post1-cp39-abi3-linux_x86_64.whl
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# $ # upload the wheel to a public location, e.g. https://wheels.vllm.ai/flashinfer/v0.2.6.post1/flashinfer_python-0.2.6.post1-cp39-abi3-linux_x86_64.whl
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# Allow specifying a version, Git revision or local .whl file
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ARG FLASHINFER_CUDA128_INDEX_URL="https://download.pytorch.org/whl/cu128/flashinfer"
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ARG FLASHINFER_CUDA128_WHEEL="flashinfer_python-0.2.6.post1%2Bcu128torch2.7-cp39-abi3-linux_x86_64.whl"
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ARG FLASHINFER_GIT_REPO="https://github.com/flashinfer-ai/flashinfer.git"
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ARG FLASHINFER_GIT_REF="v0.2.6.post1"
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RUN --mount=type=cache,target=/root/.cache/uv \
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. /etc/environment && \
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if [ "$TARGETPLATFORM" != "linux/arm64" ]; then \
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# FlashInfer already has a wheel for PyTorch 2.7.0 and CUDA 12.8. This is enough for CI use
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if [[ "$CUDA_VERSION" == 12.8* ]]; then \
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uv pip install --system https://download.pytorch.org/whl/cu128/flashinfer/flashinfer_python-0.2.6.post1%2Bcu128torch2.7-cp39-abi3-linux_x86_64.whl; \
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uv pip install --system ${FLASHINFER_CUDA128_INDEX_URL}/${FLASHINFER_CUDA128_WHEEL} ; \
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else \
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export TORCH_CUDA_ARCH_LIST='7.5 8.0 8.9 9.0a 10.0a 12.0' && \
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git clone https://github.com/flashinfer-ai/flashinfer.git --single-branch --branch v0.2.6.post1 --recursive && \
|
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git clone ${FLASHINFER_GIT_REPO} --single-branch --branch ${FLASHINFER_GIT_REF} --recursive && \
|
||||
# Needed to build AOT kernels
|
||||
(cd flashinfer && \
|
||||
python3 -m flashinfer.aot && \
|
||||
@ -286,7 +406,7 @@ uv pip list
|
||||
COPY requirements/build.txt requirements/build.txt
|
||||
RUN --mount=type=cache,target=/root/.cache/uv \
|
||||
uv pip install --system -r requirements/build.txt \
|
||||
--extra-index-url https://download.pytorch.org/whl/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')
|
||||
--extra-index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')
|
||||
|
||||
#################### vLLM installation IMAGE ####################
|
||||
|
||||
@ -297,6 +417,11 @@ FROM vllm-base AS test
|
||||
|
||||
ADD . /vllm-workspace/
|
||||
|
||||
ARG PYTHON_VERSION
|
||||
|
||||
ARG PIP_INDEX_URL UV_INDEX_URL
|
||||
ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
|
||||
|
||||
# This timeout (in seconds) is necessary when installing some dependencies via uv since it's likely to time out
|
||||
# Reference: https://github.com/astral-sh/uv/pull/1694
|
||||
ENV UV_HTTP_TIMEOUT=500
|
||||
@ -307,7 +432,7 @@ RUN --mount=type=cache,target=/root/.cache/uv \
|
||||
uv pip install --system --no-build-isolation "git+https://github.com/state-spaces/mamba@v2.2.4"
|
||||
|
||||
# install development dependencies (for testing)
|
||||
RUN --mount=type=cache,target=/root/.cache/uv \
|
||||
RUN --mount=type=cache,target=/root/.cache/uv \
|
||||
CUDA_MAJOR="${CUDA_VERSION%%.*}"; \
|
||||
if [ "$CUDA_MAJOR" -ge 12 ]; then \
|
||||
uv pip install --system -r requirements/dev.txt; \
|
||||
@ -323,7 +448,7 @@ RUN --mount=type=cache,target=/root/.cache/uv \
|
||||
ENV HF_HUB_ENABLE_HF_TRANSFER 1
|
||||
|
||||
# Copy in the v1 package for testing (it isn't distributed yet)
|
||||
COPY vllm/v1 /usr/local/lib/python3.12/dist-packages/vllm/v1
|
||||
COPY vllm/v1 /usr/local/lib/python${PYTHON_VERSION}/dist-packages/vllm/v1
|
||||
|
||||
# doc requires source code
|
||||
# we hide them inside `test_docs/` , so that this source code
|
||||
@ -340,6 +465,9 @@ RUN mv mkdocs.yaml test_docs/
|
||||
FROM vllm-base AS vllm-openai-base
|
||||
ARG TARGETPLATFORM
|
||||
|
||||
ARG PIP_INDEX_URL UV_INDEX_URL
|
||||
ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
|
||||
|
||||
# This timeout (in seconds) is necessary when installing some dependencies via uv since it's likely to time out
|
||||
# Reference: https://github.com/astral-sh/uv/pull/1694
|
||||
ENV UV_HTTP_TIMEOUT=500
|
||||
|
||||
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Reference in New Issue
Block a user